Radiologists: Medical Image Review for AI Benchmarks

What We're Researching

We're hiring medical imaging specialists to evaluate clinical cases and build scoring rubrics for diagnostic benchmarks. This work directly supports the creation of rigorous reference standards for emerging clinical tools. Your expertise ensures that these benchmarks reflect accurate, clinically sound interpretations across various imaging modalities.

How It Works

You will review a series of de-identified medical images and associated clinical cases through a secure remote platform. For each case, you will provide expert reads and apply specific scoring rubrics based on the provided criteria. The process involves carefully evaluating the scans, documenting your findings, and submitting reference evaluations asynchronously. You can expect to navigate multiple imaging modalities while completing these structured tasks.

Who This Is For

We welcome board-certified radiologists, imaging specialists, and attending physicians with extensive experience in diagnostic image review. Ideal candidates are comfortable interpreting complex clinical cases across multiple modalities and translating those reads into structured scoring rubrics. We also welcome specialized fellows who regularly perform diagnostic reads in their daily clinical practice.

What You'll Do

• Evaluate de-identified medical images across multiple modalities
• Provide expert diagnostic reads and clinical interpretations
• Apply structured scoring rubrics to clinical cases
• Document findings to serve as reference evaluations for benchmarks

Who Should Apply

• Practicing radiologist or specialized physician with imaging expertise
• Experience interpreting diverse clinical cases and medical scans
• Comfortable providing structured, written evaluations of clinical data
• Ability to review cases carefully and apply detailed scoring rubrics

Compensation

$126 per task

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About Terac

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.